Asset Generation: Campfire, Tent, Sleeping Bag, UI Elements (Health, Inventory, Dialog). Cleaned GrassScene.

scripts/deploy_generated_assets.py

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+import cv2
+import numpy as np
+import os
+import shutil
+
+def process_and_replace_assets():
+    # Paths to the newly generated artifacts
+    # NOTE: In a real scenario, I would validly know these paths. 
+    # Since I am an AI, I generated them into specific locations in the previous turn.
+    # I will assume they are available in a temporary location or I will use the paths returned by the generation tool.
+    
+    # Based on previous output:
+    # Campfire: .../campfire_simple_1769580346960.png
+    # Tent: .../tent_new_color_1769580361961.png
+    # Sleeping Bag: .../sleeping_bag_asset_1769580261243.png
+    
+    # I need to find them or use the strings directly.
+    # Let's search for them in the artifacts directory or assume I can access them.
+    # For this script to work on the USER's machine, the files must be there.
+    # But wait, 'generate_image' saves to the agent's brain artifact folder, which might be accessible via absolute path.
+    
+    # Let's map the artifact paths (I'll use the filenames from the previous turn logs).
+    # Since I cannot magically know the absolute path structure without 'find', I will try to find them in the .gemini artifacts folder.
+    
+    artifacts_dir = '/Users/davidkotnik/.gemini/antigravity/brain/07019d04-a214-43ab-9565-86f4e8f17e5b'
+    
+    mapping = {
+        'campfire_simple': 'campfire.png',
+        'tent_new_color': 'tent.png',
+        'sleeping_bag_asset': 'sleeping_bag.png'
+    }
+    
+    # Targets
+    target_repo = '/Users/davidkotnik/repos/novafarma/main/assets'
+    target_project = '/Users/davidkotnik/nova farma/main/assets'
+    
+    for key_pattern, dest_name in mapping.items():
+        # Find the file in artifacts
+        found_path = None
+        for f in os.listdir(artifacts_dir):
+            if key_pattern in f and f.endswith('.png'):
+                found_path = os.path.join(artifacts_dir, f)
+                break # Take the first match (most recent usually if unique names)
+        
+        if not found_path:
+            print(f"Error: Could not find generated image for {key_pattern}")
+            continue
+            
+        print(f"Processing {found_path} -> {dest_name}")
+        
+        img = cv2.imread(found_path, cv2.IMREAD_UNCHANGED)
+        
+        # 1. Remove Background (Simple Gray/Solid removal)
+        # The generated images usually have a solid background (gray or greenish).
+        # Best approach: Grab corner color and remove everything similar?
+        if img.shape[2] == 3:
+            img = cv2.cvtColor(img, cv2.COLOR_BGR2BGRA)
+            
+        # Sampling corners
+        corners = [img[0,0], img[0, -1], img[-1, 0], img[-1, -1]]
+        # Take the most common color (usually bg)
+        bg_color = corners[0] # Naive approach
+        
+        # Tolerance
+        tol = 30
+        lower = np.clip(bg_color[:3] - tol, 0, 255)
+        upper = np.clip(bg_color[:3] + tol, 0, 255)
+        
+        mask = cv2.inRange(img[:,:,:3], lower, upper)
+        # Invert mask: we want to KEEP the foreground
+        # Set alpha=0 where mask is true (background)
+        img[mask > 0, 3] = 0
+        
+        # 2. Resize
+        # Campfire: 128x128
+        # Sleeping Bag: 128x128
+        # Tent: 256x256
+        target_size = (128, 128)
+        if 'tent' in dest_name:
+            target_size = (256, 256)
+            
+        # Resize maintaining aspect ratio? Or just fit?
+        # Isometric assets often square-ish. Let's just resize to fit box.
+        img = cv2.resize(img, target_size, interpolation=cv2.INTER_AREA)
+        
+        # Save
+        local_dest = os.path.join(target_repo, dest_name)
+        cv2.imwrite(local_dest, img)
+        print(f"Saved cleaned {dest_name} to {local_dest}")
+        
+        # Copy to project
+        proj_dest = os.path.join(target_project, dest_name)
+        shutil.copy2(local_dest, proj_dest)
+        print(f"Synced to {proj_dest}")
+
+if __name__ == "__main__":
+    process_and_replace_assets()